feat: Add list and retrieve api for learning paths

Author: pkulkark

learning_paths/api/v1/serializers.py

@@ -4,7 +4,7 @@
 
 from rest_framework import serializers
 
-from learning_paths.models import LearningPath
+from learning_paths.models import LearningPath, LearningPathStep, Skill
 
 DEFAULT_STATUS = "active"
 IMAGE_WIDTH = 1440
@@ -85,3 +85,42 @@ class LearningPathGradeSerializer(serializers.Serializer):
     learning_path_id = serializers.UUIDField()
     grade = serializers.FloatField()
     required_grade = serializers.FloatField()
+
+
+class LearningPathListSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = LearningPath
+        fields = ['uuid', 'slug', 'display_name', 'sequential']
+
+
+class LearningPathStepSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = LearningPathStep
+        fields = ['order', 'course_key', 'relative_due_date_in_days', 'weight']
+
+class SkillSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = Skill
+        fields = ['id', 'display_name']
+
+class LearningPathDetailSerializer(serializers.ModelSerializer):
+    steps = LearningPathStepSerializer(many=True, read_only=True)
+    required_skills = SkillSerializer(source='requiredskill_set', many=True, read_only=True)
+    acquired_skills = SkillSerializer(source='acquiredskill_set', many=True, read_only=True)
+
+    class Meta:
+        model = LearningPath
+        fields = [
+            'uuid',
+            'slug',
+            'display_name',
+            'subtitle',
+            'description',
+            'image_url',
+            'level',
+            'duration_in_days',
+            'sequential',
+            'steps',
+            'required_skills',
+            'acquired_skills',
+        ]

learning_paths/api/v1/tests/factories.py

@@ -3,7 +3,15 @@
 from django.contrib import auth
 from factory.fuzzy import FuzzyText
 
-from learning_paths.models import LearningPath, LearningPathGradingCriteria
+from learning_paths.models import (
+    AcquiredSkill,
+    LearningPath,
+    LearningPathGradingCriteria,
+    LearningPathStep,
+    RequiredSkill,
+    Skill,
+)
+
 
 User = auth.get_user_model()
 
@@ -43,3 +51,39 @@ class Meta:
     learning_path = factory.SubFactory(LearnerPathwayFactory)
     required_completion = 0.80
     required_grade = 0.75
+
+
+class LearningPathStepFactory(factory.django.DjangoModelFactory):
+    class Meta:
+        model = LearningPathStep
+
+    learning_path = factory.SubFactory(LearnerPathwayFactory)
+    course_key = "course-v1:edX+DemoX+Demo_Course"
+    relative_due_date_in_days = factory.Faker("random_int", min=1, max=30)
+    order = factory.Sequence(lambda n: n + 1)
+    weight = 1
+
+
+class SkillFactory(factory.django.DjangoModelFactory):
+    class Meta:
+        model = Skill
+
+    display_name = factory.Faker("word")
+
+
+class RequiredSkillFactory(factory.django.DjangoModelFactory):
+    class Meta:
+        model = RequiredSkill
+
+    learning_path = factory.SubFactory(LearnerPathwayFactory)
+    skill = factory.SubFactory(SkillFactory)
+    level = factory.Faker("random_int", min=1, max=5)
+
+
+class AcquiredSkillFactory(factory.django.DjangoModelFactory):
+    class Meta:
+        model = AcquiredSkill
+
+    learning_path = factory.SubFactory(LearnerPathwayFactory)
+    skill = factory.SubFactory(SkillFactory)
+    level = factory.Faker("random_int", min=1, max=5)

learning_paths/api/v1/tests/test_views.py

@@ -10,8 +10,11 @@
     LearningPathProgressSerializer,
 )
 from learning_paths.api.v1.tests.factories import (
+    AcquiredSkillFactory,
     LearnerPathGradingCriteriaFactory,
     LearnerPathwayFactory,
+    LearningPathStepFactory,
+    RequiredSkillFactory,
     UserFactory,
 )
 from learning_paths.api.v1.views import (
@@ -123,3 +126,48 @@ def test_learning_path_grade_success(
         self.assertEqual(response.status_code, status.HTTP_200_OK)
         self.assertEqual(response.data["grade"], 0.85)
         self.assertTrue(response.data["required_grade"], 0.75)
+
+
+class LearningPathViewSetTests(APITestCase):
+    def setUp(self) -> None:
+        super().setUp()
+        self.user = UserFactory()
+        self.client.force_authenticate(user=self.user)
+        self.learning_paths = LearnerPathwayFactory.create_batch(3)
+        for lp in self.learning_paths:
+            LearningPathStepFactory.create(learning_path=lp, order=1, course_key="course-v1:edX+DemoX+Demo_Course")
+            LearningPathStepFactory.create(learning_path=lp, order=2, course_key="course-v1:edX+DemoX+Another_Course")
+            RequiredSkillFactory.create(learning_path=lp)
+            AcquiredSkillFactory.create(learning_path=lp)
+
+    def test_learning_path_list(self):
+        """
+        Test that the list endpoint returns all learning paths with basic fields.
+        """
+        url = reverse("learning-path-list")
+        response = self.client.get(url, format="json")
+        self.assertEqual(response.status_code, status.HTTP_200_OK)
+        self.assertEqual(len(response.data), len(self.learning_paths))
+        first_item = response.data[0]
+        self.assertIn("uuid", first_item)
+        self.assertIn("slug", first_item)
+        self.assertIn("display_name", first_item)
+
+    def test_learning_path_retrieve(self):
+        """
+        Test that the retrieve endpoint returns the details of a learning path,
+        including steps and associated skills.
+        """
+        lp = self.learning_paths[0]
+        url = reverse("learning-path-detail", args=[lp.uuid])
+        response = self.client.get(url, format="json")
+        self.assertEqual(response.status_code, status.HTTP_200_OK)
+        self.assertIn("steps", response.data)
+        self.assertIn("required_skills", response.data)
+        self.assertIn("acquired_skills", response.data)
+        if response.data["steps"]:
+            first_step = response.data["steps"][0]
+            self.assertIn("order", first_step)
+            self.assertIn("course_key", first_step)
+            self.assertIn("relative_due_date_in_days", first_step)
+            self.assertIn("weight", first_step)

learning_paths/api/v1/urls.py

@@ -7,12 +7,16 @@
     LearningPathAsProgramViewSet,
     LearningPathUserGradeView,
     LearningPathUserProgressView,
+    LearningPathViewSet,
 )
 
 router = routers.SimpleRouter()
 router.register(
     r"programs", LearningPathAsProgramViewSet, basename="learning-path-as-program"
 )
+router.register(
+    r"learning-paths", LearningPathViewSet, basename="learning-path"
+)
 
 urlpatterns = router.urls + [
     path(

learning_paths/api/v1/views.py

@@ -13,7 +13,9 @@
 
 from learning_paths.api.v1.serializers import (
     LearningPathAsProgramSerializer,
+    LearningPathDetailSerializer,
     LearningPathGradeSerializer,
+    LearningPathListSerializer,
     LearningPathProgressSerializer,
 )
 from learning_paths.models import LearningPath
@@ -105,3 +107,18 @@ def get(self, request, learning_path_uuid):
         if serializer.is_valid():
             return Response(serializer.data, status=status.HTTP_200_OK)
         return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
+
+
+class LearningPathViewSet(viewsets.ReadOnlyModelViewSet):
+    """
+    ViewSet for listing all learning paths and retrieving a specific learning path's details,
+    including steps and associated skills.
+    """
+    queryset = LearningPath.objects.all()
+    permission_classes = (IsAuthenticated,)
+    pagination_class = PageNumberPagination
+
+    def get_serializer_class(self):
+        if self.action == 'list':
+            return LearningPathListSerializer
+        return LearningPathDetailSerializer